Machine Learning for Static Analysis of Malware – Expansion of Research Scope

Introduction The work presented in this blog post is that of Ewan Alexander Miles (former UCL MSci student) and explores the expansion of scope for using machine learning models on PE (portable executable) header files to identify and classify malware. It is built on work previously presented by NCC Group, in conjunction with UCL’S Centre … Continue reading Machine Learning for Static Analysis of Malware – Expansion of Research Scope

Research Paper – Machine Learning for Static Malware Analysis, with University College London

For the past few years, NCC Group has been an industry partner to the Centre for Doctoral Training in Data Intensive Science (CDT in DIS) at University College London (UCL). CDT is composed of a group of over 80 academics from across UCL in areas such as High Energy Physics, Astrophysics, Atomic and Molecular Physics, … Continue reading Research Paper – Machine Learning for Static Malware Analysis, with University College London